Improving The Hiding Capacity of Image Steganography with Stego-Analysis

Padmaja Grandhe, A. Reddy, Kavyasri Chillapalli, Kavya Koppera, Manasa Thambabathula, L. P. Reddy Surasani
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引用次数: 1

Abstract

Communicating online without fearing third-party interventions is becoming a challenge in the modern world. Especially the sectors like the military, and government organizations or private companies sharing sensitive information. They invest a lot of effort and cost into obtaining the advancement of safe communication techniques. Image processing encryption techniques using various algorithms promote security over communication channels and using different analysis methods make the tool stand out in providing security to the information. In today's world, there are various steganographic mechanisms that convert the secret message into stego medium and send it across various communication channels. Using algorithms like Blind Hide promotes the security of the message along with using multiple analysis methods that will further improve the tool in giving out information of encoded accuracy, size of stego of the secret message. The aim is to generate a tool that will give out a benchmark value of how precisely the message is stored in the cover file. Using Stego and bulk analysis the information about the presence of the stego medium in the message can be known to the user. All these analysis methods make the tool more enhanced and secure.
用隐写分析提高图像隐写的隐藏能力
在不担心第三方干预的情况下进行在线交流正在成为现代世界的一项挑战。特别是像军队、政府机构或私人公司这样的部门共享敏感信息。他们投入了大量的精力和成本来获得安全通信技术的进步。使用各种算法的图像处理加密技术提高了通信通道的安全性,使用不同的分析方法使该工具在提供信息安全性方面脱颖而出。在当今世界,有各种隐写机制将秘密信息转换成隐写媒介,并通过各种通信渠道发送。使用盲藏等算法提高了消息的安全性,同时使用多种分析方法,进一步提高了该工具在提供信息的编码准确性、秘密消息的隐写大小等方面的能力。目的是生成一个工具,该工具将给出消息存储在覆盖文件中的精确程度的基准值。使用Stego和批量分析,用户可以知道消息中是否存在Stego介质的信息。所有这些分析方法使该工具更加强大和安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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